Titlebook: Spatio-Temporal Modeling of Nonlinear Distributed Parameter Systems; A Time/Space Separat Han-Xiong Li,Chenkun Qi Book 2011 Springer Nether

有特色

Spatio-Temporal Modeling for Wiener Distributed Parameter Systems,system are estimated with the least-squares estimation and the instrumental variables method to achieve consistent estimation under noisy measurements. The simulation on the catalytic rod and the experiment on snap curing oven are presented to illustrate the effectiveness of this modeling method.

男生戴手銬

愛得痛了

Nonlinear Dimension Reduction Based Neural Modeling for Nonlinear Complex DPS,on and the intelligent learning, this approach can model the nonlinear complex DPS with much more complexity. The simulation on the catalytic rod and the experiment on the snap curing oven will demonstrate the effectiveness of the presented method.

極大的痛苦

2213-8986 esize to different methods;.some new spatio-temporal models .The purpose of this volume is to provide a brief review of the previous work on model reduction and identifi cation of distributed parameter systems (DPS), and develop new spatio-temporal models and their relevant identifi cation approache

Nucleate

octogenarian

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nostrum

OMIT

Spatio-Temporal Volterra Modeling for a Class of Nonlinear DPS,n be considered as a nonlinear generalization of Green’s function or a spatial extension of the traditional Volterra model. To obtain a low-order model, the Karhunen-Loève (.) method is used for the time/space separation and dimension reduction. Then the model can be estimated with a least-squares a

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